Search Results - subject:"Predictive process monitoring"

Robust solutions via optimisation and predictive process monitoring for the scheduling of the interventional radiology procedures

Di Cunzolo, Matteo; Ronzani, Massimiliano; Aringhieri, … - In: International transactions in operational research : a … 32 (2025) 4, pp. 2189-2214

Persistent link: https://www.econbiz.de/10015338346

Evaluating early predictive performance of machine learning approaches for engineering change schedule : a case study using predictive process monitoring techniques

Radišić-Aberger, Ognjen; Burggräf, Peter; Steinberg, … - In: Supply chain analytics 8 (2024), pp. 1-35

By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an opportunity to counteract undesired outcomes of processes. An especially complex variation of business processes is the engineering change (EC) process. Here, failing to adhere to planned...

Persistent link: https://www.econbiz.de/10015325099

Predictive end-to-end enterprise process network monitoring

Oberdorf, Felix; Schaschek, Myriam; Weinzierl, Sven; … - In: Business & information systems engineering 65 (2023) 1, pp. 49-64

Persistent link: https://www.econbiz.de/10014228189

Predictive End-to-End Enterprise Process Network Monitoring

Oberdorf, Felix; Schaschek, Myriam; Weinzierl, Sven; … - In: Business & Information Systems Engineering 65 (2022) 1, pp. 49-64

Ever-growing data availability combined with rapid progress in analytics has laid the foundation for the emergence of business process analytics. Organizations strive to leverage predictive process analytics to obtain insights. However, current implementations are designed to deal with...

Persistent link: https://www.econbiz.de/10015209958

Machine learning in business process monitoring : a comparison of deep learning and classical approaches used for outcome prediction

Kratsch, Wolfgang; Manderscheid, Jonas Hans; … - In: Business & information systems engineering 63 (2021) 3, pp. 261-276

Persistent link: https://www.econbiz.de/10012542845

Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction

Kratsch, Wolfgang; Manderscheid, Jonas; Röglinger, … - In: Business & Information Systems Engineering 63 (2020) 3, pp. 261-276

Predictive process monitoring aims at forecasting the behavior, performance, and outcomes of business processes at … when it comes to outcome-oriented predictive process monitoring. This circumstance reflects a lack of understanding about …

Persistent link: https://www.econbiz.de/10014503822